Evidence map›Paper›PMID 34429445›Full record

ArticleScientific reports2021

State and trait of finger tapping performance in multiple sclerosis.

Philipp Gulde, Heike Vojta, Joachim Hermsdörfer, Peter Rieckmann

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 13 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Philipp GuldeCentre for Clinical Neuroplasticity, Medical Park Loipl (Medical Park Group), Thanngasse 15, 83483, Bischofswiesen, Germany. p.gulde@medicalpark.de.
Heike VojtaCentre for Clinical Neuroplasticity, Medical Park Loipl (Medical Park Group), Thanngasse 15, 83483, Bischofswiesen, Germany.
Joachim HermsdörferTechnical University of Munich, Munich, Germany.
Peter RieckmannCentre for Clinical Neuroplasticity, Medical Park Loipl (Medical Park Group), Thanngasse 15, 83483, Bischofswiesen, Germany.
Friedrich-Alexander-Universität Erlangen-Nürnberg · DETechnical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Finger tapping tests have been shown feasible to assess motor performance in multiple sclerosis (MS) and were observed to be strongly associated with the estimated clinical severity of the disease. Therefore, tapping tests could be an adequate tool to assess disease status in MS. In this study we examined potential influencing factors on a maximum tapping task with the whole upper-limb for 10 s in 40 MS patients using linear mixed effects modelling. Patients were tested in three sessions with two trials per body-side per session over the course of 4-27 days of inpatient rehabilitation. Tested factors were the expanded disability scale (EDSS) score, laterality of MS, age, sex, hand dominance, time of day, session, trial (first or second), time between sessions, and the reported day form. A second model used these factors to examine the self-reported day form of patients. Linear mixed effects modelling indicated the tapping test to have a good inter-trial (proportional variance < 0.01) and inter-session reliability (non-significant; when controlling for time between sessions), an influence of hand-dominance (proportional variance 0.08), to be strongly associated with the EDSS (eta

Indexed as

Motor SkillsAdultData Interpretation, StatisticalFemaleFingersHumansMaleMiddle AgedModels, NeurologicalMultiple SclerosisNeurologic ExaminationSensitivity and Specificity

Identifiers

PMID34429445
PMCPMC8384844
OpenAlexW3193938265

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.